https://github.com/ayuei/medredqa
Code for MedRedQA for Medical Consumer Question Answering @ AACL-IJCNLP 2023
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.3%) to scientific vocabulary
Repository
Code for MedRedQA for Medical Consumer Question Answering @ AACL-IJCNLP 2023
Basic Info
- Host: GitHub
- Owner: Ayuei
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://aclanthology.org/2023.ijcnlp-main.42/
- Size: 700 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
MedRedQA
Access to the full dataset here: https://doi.org/10.25919/yn7x-9148
This repository contains the submission and comment IDs from Reddit for the original splits used in our AACL paper.
Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, and Zhenchang Xing. 2023. MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 629–648, Nusa Dua, Bali. Association for Computational Linguistics.
Contact Email: Vincent.Nguyen@csiro.au
Owner
- Login: Ayuei
- Kind: user
- Location: Australia
- Company: Australian National University
- Repositories: 5
- Profile: https://github.com/Ayuei